Explainable machine learning model predicts response to adjuvant therapy after radical cystectomy in bladder cancer

PurposeRadical cystectomy (RC) is the standard treatment for muscle-invasive and select high-risk non–muscle-invasive bladder cancer. Despite definitive surgery, recurrence and progression remain major clinical concerns. Adjuvant chemotherapy and immunotherapy may improve outcomes, but therapeutic r...

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Podrobná bibliografie

Hlavní autoři:	Jian Hou, Yi Ding, Runlin Feng, Yumin Wang, Yanping Tao, Junxiong Li, Jingbo Qin, Pinyao Liang, Peng Gu, Xiaodong Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-10-01
Edice:	Frontiers in Oncology
Témata:	bladder cancer adjuvant therapy machine learning shap predictive model radical cystectomy
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1664965/full
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